research-article

MVE: a multi-view reconstruction environment

Authors:

Simon Fuhrmann,

Fabian Langguth,

Michael GoeseleAuthors Info & Claims

GCH '14: Proceedings of the Eurographics Workshop on Graphics and Cultural Heritage

Pages 11 - 18

Published: 06 October 2014 Publication History

Abstract

We present MVE, the Multi-View Environment. MVE is an end-to-end multi-view geometry reconstruction software which takes photos of a scene as input and produces a surface triangle mesh as result. The system covers a structure-from-motion algorithm, multi-view stereo reconstruction, generation of extremely dense point clouds, and reconstruction of surfaces from point clouds. In contrast to most image-based geometry reconstruction approaches, our system is focused on reconstruction of multi-scale scenes, an important aspect in many areas such as cultural heritage. It allows to reconstruct large datasets containing some detailed regions with much higher resolution than the rest of the scene. Our system provides a graphical user interface for structure-from-motion reconstruction, visual inspection of images, depth maps, and rendering of scenes and meshes.

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Cited By

Yu C(2019)Semi-supervised three-dimensional reconstruction framework with GANProceedings of the 28th International Joint Conference on Artificial Intelligence10.5555/3367471.3367624(4192-4198)Online publication date: 10-Aug-2019
https://dl.acm.org/doi/10.5555/3367471.3367624
Saouli ABabahenini MMedjram S(2019)Accurate, dense and shading-aware multi-view stereo reconstruction using metaheuritic optimizationMultimedia Tools and Applications10.1007/s11042-018-6904-678:11(15053-15077)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11042-018-6904-6
Quenzel JNieuwenhuisen MDroeschel DBeul MHouben SBehnke S(2019)Autonomous MAV-based Indoor Chimney Inspection with 3D Laser Localization and Textured Surface ReconstructionJournal of Intelligent and Robotic Systems10.1007/s10846-018-0791-y93:1-2(317-335)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s10846-018-0791-y
Show More Cited By

Index Terms

MVE: a multi-view reconstruction environment
1. Computing methodologies
  1. Computer graphics
    1. Shape modeling
2. Theory of computation
  1. Randomness, geometry and discrete structures

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Information & Contributors

Information

Published In

cover image Guide Proceedings

GCH '14: Proceedings of the Eurographics Workshop on Graphics and Cultural Heritage

October 2014

178 pages

ISBN:9783905674637

Conference Chairs:
Dieter Fellner
TU Darmstadt/Fraunhofer IGD, Germany
,
Roberto Scopigno
CNR, Pisa, Italy

Sponsors

Fraunhofer IGD: Fraunhofer Institute for Computer Graphics Research IGD
Technische Universitat Darmstadt: Technische Universitat Darmstadt
EUROGRAPHICS: The European Association for Computer Graphics

Publisher

Eurographics Association

Goslar, Germany

Publication History

Published: 06 October 2014

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Cited By

Yu C(2019)Semi-supervised three-dimensional reconstruction framework with GANProceedings of the 28th International Joint Conference on Artificial Intelligence10.5555/3367471.3367624(4192-4198)Online publication date: 10-Aug-2019
https://dl.acm.org/doi/10.5555/3367471.3367624
Saouli ABabahenini MMedjram S(2019)Accurate, dense and shading-aware multi-view stereo reconstruction using metaheuritic optimizationMultimedia Tools and Applications10.1007/s11042-018-6904-678:11(15053-15077)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11042-018-6904-6
Quenzel JNieuwenhuisen MDroeschel DBeul MHouben SBehnke S(2019)Autonomous MAV-based Indoor Chimney Inspection with 3D Laser Localization and Textured Surface ReconstructionJournal of Intelligent and Robotic Systems10.1007/s10846-018-0791-y93:1-2(317-335)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s10846-018-0791-y
Hepp BNießner MHilliges O(2018)Plan3DACM Transactions on Graphics10.1145/323379438:1(1-17)Online publication date: 14-Dec-2018
https://dl.acm.org/doi/10.1145/3233794
Schroers CBazin JSorkine-Hornung A(2018)An Omnistereoscopic Video Pipeline for Capture and Display of Real-World VRACM Transactions on Graphics10.1145/322515037:3(1-13)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1145/3225150
Ruan GWernert EGniady TTuna ESherman WSanielevici S(2018)High Performance Photogrammetry for Academic ResearchProceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity10.1145/3219104.3219148(1-8)Online publication date: 22-Jul-2018
https://dl.acm.org/doi/10.1145/3219104.3219148
Sodhi PSun HPóczos BWettergreen D(2018)Robust Plant Phenotyping via Model-Based Optimization2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS.2018.8594245(7689-7696)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1109/IROS.2018.8594245
Liu YPeng XZhou WLiu BGerndt A(2018)Template-Based 3D Reconstruction of Non-rigid Deformable Object from Monocular Video3D Research10.1007/s13319-018-0174-y9:2(1-12)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s13319-018-0174-y
Aroudj SSeemann PLangguth FGuthe SGoesele M(2017)Visibility-consistent thin surface reconstruction using multi-scale kernelsACM Transactions on Graphics10.1145/3130800.313085136:6(1-13)Online publication date: 20-Nov-2017
https://dl.acm.org/doi/10.1145/3130800.3130851
Hedman PAlsisan SSzeliski RKopf J(2017)Casual 3D photographyACM Transactions on Graphics10.1145/3130800.313082836:6(1-15)Online publication date: 20-Nov-2017
https://dl.acm.org/doi/10.1145/3130800.3130828
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